Power distribution construction operation management method and system, intelligent terminal and storage medium

Abstract

The invention belongs to the field of power distribution construction, and particularly relates to a power distribution construction operation management method and system, an intelligent terminal and a storage medium, and the method comprises the steps: controlling an alcohol detection device to obtain the alcohol concentration; when the alcohol concentration is higher than the preset warning concentration, the warning position of the alcohol detection device is obtained; matching a warning area from a preset warning area matching model according to the warning position; matching a probing route from a preset probing route matching model according to the warning area; controlling a preset unmanned aerial vehicle to obtain a warning image according to the exploration route; judging whether a drinker exists in a preset drinker identification model according to the warning image; when the drinker exists, the position of the drinker is matched from a preset personnel position recognition model based on the drinker; and controlling a preset warning device to give out a personnel drinking warning according to the personnel position. According to the invention, the safety of power distribution construction operation is improved, and the construction condition of constructors after drinking is reduced.

Description

Technical Field

[0001] The present invention relates to the field of power distribution construction, and in particular to a power distribution construction operation management method, system, intelligent terminal and storage medium. Background Art

[0002] Distribution construction refers to the installation and configuration of power distribution systems in buildings or equipment.

[0003] In the existing technology, power distribution construction usually involves steps such as substation construction, cable laying, equipment installation and commissioning. Power distribution construction is generally completed by construction personnel, who need to strictly abide by relevant regulations, wear safety protection equipment, and pay attention to safety during the construction process. Key links in the construction process, such as cable joints and grounding systems, must be inspected and tested to ensure that the construction quality meets the requirements.

[0004] When construction workers drink alcohol before construction, it is easy for them to be unable to make clear judgments during construction, thus leading to construction accidents. Summary of the invention

[0005] In order to improve the safety of power distribution construction work and reduce the situation where construction workers perform construction after drinking, the present invention provides a power distribution construction work management method, system, intelligent terminal and storage medium.

[0006] To achieve the above objectives, the following scheme is adopted:

[0007] In a first aspect, the present invention provides a method for managing power distribution construction operations, comprising:

[0008] Control the alcohol detection device to obtain the alcohol concentration;

[0009] When the alcohol concentration is higher than a preset warning concentration, obtaining the warning position of the alcohol detection device;

[0010] Matching a warning area from a preset warning area matching model according to the warning position;

[0011] Matching a detection route from a preset detection route matching model according to the warning area;

[0012] Control the preset UAV to obtain warning images according to the exploration route;

[0013] Judging whether there is a drinking person from a preset drinking person identification model according to the warning image;

[0014] When there is a person drinking, the person's position is matched from a preset person position recognition model based on the person drinking;

[0015] The preset warning device is controlled according to the personnel's position to issue a warning that the personnel are drinking.

[0016] By adopting the above technical solution, the alcohol concentration in the air of the construction site is detected in real time by the alcohol detection device, so that when the alcohol concentration is high, the drone can be used to further identify whether there are drunk people entering the construction site, thereby reducing the situation of construction workers performing construction after drinking and improving the safety of power distribution construction operations.

[0017] Optionally, a method for checking blood pressure of a person is also included, and the method for checking blood pressure of a person includes:

[0018] Acquire personnel images of construction personnel;

[0019] Matching the construction number from a preset construction number matching model according to the personnel image;

[0020] According to the construction number, a construction height corresponding to the construction number is matched from a preset construction height database;

[0021] According to the construction height, a blood pressure upper limit value is matched from a preset blood pressure limit matching model, and a blood pressure acquisition device is controlled to acquire the blood pressure of the construction personnel;

[0022] When a person's blood pressure exceeds the upper limit, the preset warning device is controlled to issue a high blood pressure warning.

[0023] By adopting the above technical solution, when construction workers go to high places to perform construction work, their blood pressure is likely to rise. When the construction workers' original blood pressure is high, it is easy for them to feel dizzy. The blood pressure of the construction workers can be obtained in real time through the blood pressure acquisition device, thereby alerting the construction workers with high blood pressure, thereby improving the safety of power distribution construction work.

[0024] Optionally, it also includes an equipment wearing inspection method, and the equipment wearing inspection method includes:

[0025] Match the construction type from the preset construction type database according to the construction number;

[0026] Match protective equipment from a preset protective equipment matching model according to the construction type;

[0027] Based on the personnel image and protective equipment, the preset wearing inspection model is used to determine whether the construction personnel are fully wearing protective equipment;

[0028] When the construction workers do not wear complete protective equipment, the missing equipment is matched from the preset missing equipment matching model based on the personnel image and protective equipment;

[0029] An equipment wearing warning is issued based on the warning device preset by the missing equipment control.

[0030] By adopting the above technical solution, when construction workers are carrying out power distribution construction, there are potential dangers such as electric shock, electric arc, and falling from height. Generally, construction workers wear matching protective equipment such as insulating gloves, safety ropes and insulating clothing. The image can be used to judge whether the construction workers have worn all the protective equipment, and the construction workers can be warned when they are not wearing all the protective equipment, thereby reducing the occurrence of construction accidents and improving the safety of power distribution construction operations.

[0031] Optionally, the equipment wearing inspection method further includes:

[0032] Based on the condition that the construction workers are fully wearing protective equipment, the preset wearing status recognition model is used to determine whether the construction workers are wearing protective equipment correctly according to the personnel image;

[0033] When construction workers do not wear protective equipment correctly, the type of equipment worn incorrectly is identified from a preset incorrect wearing recognition model based on the worker image;

[0034] According to the equipment type, matching a wearing method corresponding to the equipment type from a preset wearing method database;

[0035] The preset warning device is controlled according to the equipment type and wearing method to remind construction workers the correct way to wear protective equipment.

[0036] By adopting the above technical solution, different protective equipment has different wearing requirements. When construction workers do not wear protective equipment correctly, it is easy to cause the protective equipment to have a low protective effect on the construction workers. The wearing status of protective equipment can be identified through images, thereby reminding construction workers of the wrongly worn protective equipment and the correct wearing method, thereby reducing the occurrence of construction accidents and improving the safety of power distribution construction operations.

[0037] Optionally, a construction progress management method is also included, and the construction progress management method includes:

[0038] Get the personnel location and actual time of construction personnel;

[0039] Determine whether the construction personnel have entered the construction area from the preset construction judgment model according to the personnel position;

[0040] When the construction workers do not enter the construction area, the actual time is defined as the base time;

[0041] Based on the situation of construction workers entering the construction area, the difference between the actual time and the benchmark time is calculated and defined as the construction time;

[0042] Match the planned progress from the preset construction plan model according to the construction time, and obtain the construction image of the construction area;

[0043] Match the actual progress from the preset construction progress matching model according to the construction image;

[0044] When the actual progress is less than the planned progress, the preset warning device of the control issues a progress delay warning.

[0045] By adopting the above technical solution, when construction workers start construction, by comparing the actual construction progress with the planned construction progress, they can be reminded when the actual construction progress lags behind, thereby maintaining the progress of the power distribution construction work and improving the efficiency of the power distribution construction work.

[0046] Optionally, it also includes a hidden danger elimination method, and the hidden danger elimination method includes:

[0047] Acquire regional images of the construction area;

[0048] Judging whether there are hidden danger features from a preset construction hidden danger feature recognition model based on the regional image;

[0049] When hidden danger features exist, an inspection route is matched from a preset hidden danger inspection route matching model based on the hidden danger features;

[0050] Control the preset drone according to the inspection route to obtain hidden danger images of construction hazards;

[0051] Judging whether the hidden danger features hinder construction workers from carrying out construction according to the hidden danger image from a preset hidden danger judgment model;

[0052] When the hidden danger characteristics hinder the construction personnel from carrying out the construction, the hidden danger location is identified from a preset hidden danger location identification model based on the construction hidden danger;

[0053] According to the hidden danger location, the preset warning device is controlled to issue a hidden danger warning.

[0054] By adopting the above technical solution, before carrying out power distribution construction work, it is necessary to first check the conditions in the construction area to eliminate potential construction hazards that may easily cause construction accidents. The construction hazards are checked one by one by using drones to determine the degree of obstruction of the construction hazards to the construction work, thereby facilitating construction personnel to eliminate construction hazards with a greater degree of obstruction, thereby improving the convenience of power distribution construction work.

[0055] Optionally, the hidden danger elimination method further includes:

[0056] When the hidden danger characteristics hinder the construction personnel from carrying out the construction, it is determined whether the hidden danger needs to be relocated based on the preset relocation judgment model;

[0057] When construction hazards need to be removed, the weight of the hazard is matched from a preset weight recognition model based on the construction hazards;

[0058] When the weight of the hidden danger falls into the preset UAV load range, the grabbing position is matched from the preset grabbing position matching model based on the construction hidden danger;

[0059] Matching a relocation route from a preset relocation route matching model based on construction hazards;

[0060] According to the relocation route, the preset drone is controlled to grab and move the construction hazards according to the grabbing position to eliminate the construction hazards.

[0061] By adopting the above technical solution, construction workers need to eliminate construction hazards one by one before construction, and use drones to pre-process easy-to-handle construction hazards, thereby reducing the construction hazards that construction workers need to deal with, and further improving the convenience of power distribution construction operations.

[0062] In a second aspect, the present application provides a power distribution construction operation management system, comprising:

[0063] An acquisition module is used to acquire alcohol concentration, warning position, warning image, personnel image, personnel blood pressure, personnel position, actual time, construction image, area image and hidden danger image;

[0064] A memory for storing a program of a control method of any one of the methods for managing power distribution construction operations;

[0065] A processor, a program in a memory can be loaded and executed by the processor to implement any control method of a power distribution construction operation management method.

[0066] In a third aspect, the present application provides a computer-readable storage medium storing a computer program that can be loaded by a processor and execute any power distribution construction work management method.

[0067] In a fourth aspect, the present application provides an intelligent terminal, comprising a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute any power distribution construction operation management method.

[0068] By adopting the above technical solution, the alcohol concentration in the air of the construction site is detected in real time by the alcohol detection device, so that when the alcohol concentration is high, the drone can be used to further identify whether there are drunk people entering the construction site, thereby reducing the situation of construction workers performing construction after drinking and improving the safety of power distribution construction operations.

[0069] In summary, the present application includes at least one of the following beneficial technical effects:

[0070] The alcohol concentration in the air of the construction site is detected in real time through the alcohol detection device. When the alcohol concentration is high, the drone can be used to further identify whether there are people who drink alcohol entering the construction site, thereby reducing the number of construction workers who drink alcohol and improve the safety of power distribution construction operations.

[0071] When construction workers go to high places for construction work, their blood pressure is likely to rise. If the original blood pressure of construction workers is high, it is easy to cause dizziness. The blood pressure acquisition device can obtain the blood pressure of construction workers in real time, so as to warn construction workers with high blood pressure, thereby improving the safety of power distribution construction work;

[0072] When construction workers are carrying out power distribution construction, there are potential dangers such as electric shock, electric arc, and falling from heights. Generally, construction workers wear matching protective equipment such as insulating gloves, safety ropes, and insulating clothing. The image can be used to determine whether the construction workers have worn all the protective equipment, and the construction workers can be warned when they are not wearing all the protective equipment, thereby reducing the occurrence of construction accidents and improving the safety of power distribution construction operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 It is a flow chart of a method for managing power distribution construction operations;

[0074] Figure 2 It is a flow chart of the method of checking blood pressure of personnel;

[0075] Figure 3 This is the process of equipment wearing inspection method Figure 1 ;

[0076] Figure 4 This is the process of equipment wearing inspection method Figure 2 ;

[0077] Figure 5 It is a flow chart of the construction progress management method;

[0078] Figure 6 It is the process of eliminating hidden dangers Figure 1 ;

[0079] Figure 7 It is the process of troubleshooting Figure 2 . DETAILED DESCRIPTION

[0080] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the following Figure 1 -Attached Figure 7 It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0081] The embodiments of the present application disclose a method, system, intelligent terminal and storage medium for managing power distribution construction operations. The present invention is used to identify whether construction workers are working after drinking, and to identify the wearing of protective equipment by construction workers through images, thereby improving the safety of power distribution construction operations.

[0082] Reference Figure 1 , a power distribution construction operation management method, comprising:

[0083] Step 100: Control the alcohol detection device to obtain alcohol concentration.

[0084] Alcohol detection device refers to a device used to obtain the alcohol content in the air. Alcohol detection devices are generally evenly set up in multiple locations in the power distribution construction site. The alcohol detection device is selected by the staff according to the actual situation, so it will not be described here. Alcohol concentration is the alcohol content value in the air obtained by the alcohol detection device.

[0085] Step 101: When the alcohol concentration is higher than a preset warning concentration, the warning position of the alcohol detection device is obtained.

[0086] The warning concentration refers to the upper limit of the alcohol concentration in the air set in advance. Generally, the warning concentration is zero, that is, there is no alcohol in the air. The warning concentration is selected by the staff according to the actual situation, and it is not detailed here. If the alcohol concentration is higher than the warning concentration, it means that the alcohol concentration in the air is too high at this time, and the source of alcohol needs to be detected.

[0087] The warning position refers to the position of the alcohol detection device that detects an alcohol concentration higher than the warning concentration. The warning position can be obtained by numbering the alcohol detection device in advance and recording the corresponding position, so that the alcohol detection device can be obtained when the alcohol concentration is detected to be higher than the warning concentration. The method of obtaining the warning position is selected by the staff according to the actual situation and will not be elaborated here.

[0088] Step 102: Match a warning area from a preset warning area matching model according to the warning position.

[0089] The warning area matching model refers to a neural network model obtained through sample training in advance. The warning area matching model can match the warning area of ​​the alcohol source according to the volatility characteristics of alcohol.

[0090] Step 103: matching an exploration route from a preset exploration route matching model according to the warning area.

[0091] The exploration route matching model refers to a neural network model obtained through sample training in advance. The exploration route matching model can match the exploration route through which the drone explores the warning area. When the warning area includes the construction area and the non-construction area, the exploration route only passes through the construction area.

[0092] Step 104: Control the preset UAV to obtain a warning image according to the exploration route.

[0093] The warning image refers to a set of pictures of the warning area obtained by the camera on the drone when the drone flies along the exploration route. The method of obtaining the warning image is selected by the staff according to the actual situation and will not be elaborated here.

[0094] Step 105: judging whether there is a drinker from a preset drinker identification model according to the warning image.

[0095] The drinking person recognition model refers to a neural network model obtained through sample training in advance. The drinking person recognition model can judge whether there are people who may be drinking in the picture based on the appearance of the people in the warning image.

[0096] Step 106: When there is a person drinking, the person's position is matched from a preset person position recognition model based on the person drinking.

[0097] The person location recognition model refers to a neural network model obtained through sample training in advance. The person location recognition model can recognize the location of people who may drink alcohol from a picture.

[0098] Step 107: Control a preset warning device according to the position of the person to issue a warning that the person is drinking.

[0099] Warning devices refer to terminals used to alert construction workers. Warning devices are in the form of devices that construction workers can carry with them, such as smart watches. Warning devices are selected by workers based on actual conditions and are not described in detail here. Alcohol drinking warnings refer to the display of a person's location to construction workers in the same construction area through a warning device, so that construction workers on site can handle the person who has drunk alcohol. The method of alcohol drinking warnings is selected by workers based on actual conditions and is not described in detail here.

[0100] Reference Figure 2 , the methods for checking blood pressure of personnel include:

[0101] Step 200: Acquire a construction worker's image.

[0102] Personnel images refer to pictures of construction workers. Personnel images can be obtained through cameras installed at the entrance of the construction area. The method of obtaining personnel images is selected by the staff according to actual conditions and will not be elaborated here.

[0103] Step 201: Match the construction number from a preset construction number matching model according to the personnel image.

[0104] The construction number refers to a digital number set by construction workers to distinguish them. The construction number corresponds to the construction worker one by one. The construction number is generally marked on the work clothes of the construction worker. The construction number is selected by the worker according to the actual situation, which will not be elaborated here. The construction number matching model refers to a neural network model obtained through sample training in advance. The construction number matching model can identify the construction number of the construction worker entering the construction area from the personnel image.

[0105] Step 202: Match the construction height corresponding to the construction number from a preset construction height database according to the construction number.

[0106] The construction height refers to the height that construction workers need to climb during construction. The construction height database refers to a database that records the construction number and its corresponding construction height in advance.

[0107] Step 203: Match the blood pressure upper limit value from the preset blood pressure limit matching model according to the construction height, and control the blood pressure acquisition device to acquire the blood pressure of the construction workers.

[0108] The blood pressure limit matching model refers to a neural network model obtained through sample training in advance. The blood pressure limit matching model can match the upper limit of the blood pressure of construction workers when performing construction at a construction height.

[0109] The blood pressure acquisition device refers to a device used to obtain the real-time blood pressure of construction workers. The blood pressure acquisition device is generally a small terminal worn by the worker on the wrist or neck, etc., where the blood pressure can be easily measured. The blood pressure acquisition device and the warning device are generally integrated on the same terminal. The blood pressure acquisition device is selected by the worker according to the actual situation, and will not be described here. The personnel blood pressure is the blood pressure value of the construction worker when entering the construction area obtained by the blood pressure acquisition device.

[0110] Step 204: When the person's blood pressure exceeds the upper limit of the blood pressure, the preset warning device is controlled to issue a high blood pressure warning.

[0111] If the blood pressure of a person exceeds the upper limit of the blood pressure, it means that the blood pressure of the construction worker is too high and is not suitable for the current construction work. When the construction workers climb, the thin oxygen in the high altitude and the strenuous exercise can easily cause the pulse of the construction workers to accelerate and the blood pressure to rise. When the blood pressure of the construction workers is originally high, it is easy to cause the construction workers to have symptoms of high blood pressure such as dizziness, which in turn leads to construction accidents. The blood pressure of the personnel is detected by the blood pressure acquisition device, and when the blood pressure of the personnel is too high, the warning device issues a high blood pressure warning to warn the construction workers. The high blood pressure warning is selected by the staff according to the actual situation and will not be elaborated here.

[0112] Reference Figure 3 , equipment wearing inspection methods include:

[0113] Step 300: Match the construction type from a preset construction type database according to the construction number.

[0114] Construction type refers to the type of power distribution construction work, which includes substation construction, cable laying, equipment installation and commissioning, etc. Construction type database refers to a pre-set database that records construction numbers and their corresponding construction types.

[0115] Step 301: Match protective equipment from a preset protective equipment matching model according to the construction type.

[0116] Protective equipment refers to equipment such as insulating gloves, safety ropes and insulating clothing used to protect construction workers in power distribution construction operations. Different types of construction require different protective equipment. The protective equipment matching model refers to a neural network model obtained through sample training in advance. The protective equipment matching model can match the protective equipment required for the current construction type.

[0117] Step 302: Determine whether the construction worker is fully wearing protective equipment from a preset wearing inspection model based on the personnel image and protective equipment.

[0118] The wearing inspection model refers to a neural network model obtained through sample training in advance. The wearing inspection model can identify from the personnel image whether the protective equipment is worn by the construction personnel.

[0119] Step 303: When the construction worker does not wear the protective equipment completely, the missing equipment is matched from a preset missing equipment matching model according to the worker image and the protective equipment.

[0120] The fact that the construction workers did not wear the protective equipment completely means that they missed wearing the protective equipment. The missing equipment matching model refers to a neural network model obtained through sample training in advance. The missing equipment matching model can identify the missing equipment that the construction workers did not wear from the personnel image.

[0121] Step 304: Control a preset warning device to issue an equipment wearing warning based on the missing equipment.

[0122] When construction workers fail to wear protective equipment, the warning device will alert the construction workers and issue a wearing warning to remind them of the situation of missing protective equipment and the missing equipment, so as to facilitate the construction workers to wear protective equipment in a timely and complete manner, thereby reducing the occurrence of construction accidents. The wearing warning is selected by the staff according to the actual situation and will not be elaborated here.

[0123] Reference Figure 4 , the equipment wearing inspection method also includes:

[0124] Step 305: Based on the condition that the construction personnel fully wear the protective equipment, determine whether the construction personnel wear the protective equipment correctly from a preset wearing status recognition model according to the personnel image.

[0125] The wearing condition recognition model refers to a neural network model obtained through sample training in advance. The wearing condition recognition model can recognize from the personnel image whether the protective equipment worn by the construction personnel meets the wearing specifications.

[0126] Step 306: When the construction worker does not wear the protective equipment correctly, the type of the incorrectly worn equipment is identified from a preset incorrect wearing identification model according to the worker image.

[0127] If the construction workers do not wear protective equipment correctly, it means that the protective equipment cannot fully protect the construction workers. The incorrect wearing recognition model refers to a neural network model obtained through sample training in advance. The incorrect wearing recognition model can identify the type of equipment that does not meet the wearing specifications from the personnel image.

[0128] Step 307: Match the wearing method corresponding to the equipment type from a preset wearing method database according to the equipment type.

[0129] The wearing method database refers to a pre-set database that records the equipment types of protective equipment and their corresponding standard wearing methods.

[0130] Step 308: Control the preset warning device according to the equipment type and wearing method to remind the construction workers the correct way to wear the protective equipment.

[0131] When personnel do not wear protective equipment correctly, the warning device will remind the construction personnel of the type of protective equipment that they do not wear correctly and how to wear it so that the construction personnel can wear the protective equipment correctly in time.

[0132] Reference Figure 5 , construction progress management methods include:

[0133] Step 400: Obtain the location and actual time of the construction personnel.

[0134] Personnel location refers to the real-time location of construction personnel, which can be obtained through the positioning device. Actual time refers to real-time time information, which can be obtained through the timing device. Generally, the positioning device, timing device, blood pressure acquisition device and warning device are integrated on the same terminal. The method of obtaining personnel location and actual time is selected by the staff according to the actual situation and will not be elaborated here.

[0135] Step 401: Determine whether the construction personnel have entered the construction area based on the personnel position using a preset construction judgment model.

[0136] The construction judgment model refers to a neural network model obtained through sample training in advance. The construction judgment model can judge whether the construction personnel have entered the construction area, that is, whether the personnel are located in the construction area.

[0137] Step 402: When the construction workers have not entered the construction area, the actual time is defined as the reference time.

[0138] If the construction workers have not entered the construction area, it means that they have not started construction yet. The benchmark time is the time when the construction workers are outside the construction area.

[0139] Step 403: Based on the situation of construction workers entering the construction area, the difference between the actual time and the reference time is calculated and defined as the construction time.

[0140] The entry of construction workers into the construction area represents the start of construction by the construction workers, and the construction time refers to the length of time the construction workers spend in the construction area.

[0141] Step 404: Match the planned progress from the preset construction plan model according to the construction time, and obtain the construction image of the construction area.

[0142] The planned progress refers to the degree of construction completion that should be achieved according to the plan. The construction plan model refers to a neural network model obtained through sample training in advance. The construction plan model can match the planned progress that should be achieved after the construction time. The construction image refers to the picture of the location to be constructed in the construction area. The construction situation is displayed through the construction image. The construction image can be obtained through a camera. The method of obtaining the construction image is selected by the staff according to the actual situation, which will not be elaborated here.

[0143] Step 405: Match the actual progress from a preset construction progress matching model according to the construction image.

[0144] The construction progress matching model refers to a neural network model obtained through sample training in advance. The construction progress matching model can match the actual progress of the construction shown in the construction image.

[0145] Step 406: When the actual progress is less than the planned progress, a preset warning device is controlled to issue a progress delay warning.

[0146] The actual progress is less than the planned progress, which means that the construction progress is lagging behind. At this time, the delay warning is used to remind the construction personnel to speed up the construction progress, so as to ensure the construction efficiency. The delay warning is selected by the staff according to the actual situation and will not be elaborated here.

[0147] Reference Figure 6 , hidden danger elimination methods include:

[0148] Step 500: Acquire a regional image of the construction area.

[0149] The regional image refers to the overall picture of the construction area. The regional image can be obtained through the camera installed on the drone. The method of obtaining the regional image is selected by the staff according to the actual situation and will not be elaborated here.

[0150] Step 501: judging whether there are hidden danger features from a preset construction hidden danger feature recognition model according to the regional image.

[0151] Hidden danger features refer to features that may cause safety hazards, such as damage to the insulating rubber pad on the switch cabinet operation floor or damage to the baffle plate at the entrance and exit of the distribution room. The construction hidden danger feature recognition model refers to a neural network model obtained through sample training in advance. The construction hidden danger feature recognition model can determine whether there are hidden danger features from the regional image.

[0152] Step 502: When hidden danger features exist, an inspection route is matched from a preset hidden danger inspection route matching model based on the hidden danger features.

[0153] The existence of construction hazards means that the characteristics of the hazards need to be further investigated to determine the situation of the characteristics of the hazards. The hidden danger inspection route matching model refers to a neural network model obtained through sample training in advance. The hidden danger inspection route matching model can match the inspection route that uses drones to detect hidden danger characteristics one by one.

[0154] Step 503: Control a preset drone according to the inspection route to obtain hidden danger images of the construction hazards.

[0155] Hidden danger images refer to a set of pictures of hidden danger features. Hidden danger images can be obtained through a camera installed on a drone. The method for obtaining hidden danger images is selected by the staff based on actual conditions and will not be elaborated here.

[0156] Step 504: judging whether the hidden danger features hinder construction workers from performing construction according to the hidden danger image using a preset hidden danger judgment model.

[0157] The hidden danger judgment model refers to a neural network model obtained through sample training in advance. The hidden danger judgment model can judge from the hidden danger image whether the hidden danger characteristics hinder the construction workers from carrying out construction. Hindering the construction workers from carrying out construction means that the hidden danger characteristics may cause construction accidents when the construction workers are carrying out construction or the hidden danger characteristics block the area where construction needs to be carried out.

[0158] Step 505: When the hidden danger feature prevents construction workers from performing construction, the hidden danger location is identified from a preset hidden danger location identification model based on the construction hidden danger.

[0159] The hidden danger features hinder construction personnel from carrying out construction, which means that the hidden danger features need to be eliminated. The hidden danger location recognition model refers to a neural network model obtained through sample training in advance. The hidden danger location recognition model can identify the hidden danger location where the hidden danger features are located from the hidden danger image.

[0160] Step 506: Control a preset warning device to issue a hidden danger warning according to the hidden danger location.

[0161] When hidden danger features hinder construction workers from carrying out construction, a hidden danger warning is issued through the warning device to prompt the construction workers to eliminate the hidden danger features, thereby improving the convenience of power distribution construction work.

[0162] Reference Figure 7 , hidden danger elimination methods also include:

[0163] Step 507: When the hidden danger characteristics hinder the construction workers from performing construction, it is determined whether the construction hidden danger needs to be relocated based on the preset relocation judgment model.

[0164] The relocation judgment model refers to a neural network model obtained through sample training in advance. The relocation judgment model can determine whether it is necessary to relocate the hidden danger features in order to eliminate the hidden danger features.

[0165] Step 508: When a construction hazard needs to be removed, the weight of the hazard is matched from a preset weight recognition model based on the construction hazard.

[0166] The weight recognition model refers to a neural network model obtained through sample training in advance. The weight recognition model can judge the hidden danger weight of the hidden danger feature from the material and volume of the hidden danger feature displayed in the hidden danger image.

[0167] Step 509: When the hidden danger weight falls into the preset UAV load range, the grabbing position is matched from the preset grabbing position matching model based on the construction hidden danger.

[0168] The drone load range refers to the weight range of objects that the drone can move. The drone load range is selected by the staff according to the actual situation, so it will not be elaborated here. If the hidden danger weight falls into the drone load range, it means that the hidden danger feature can be eliminated by the drone.

[0169] The grasping position matching model refers to a neural network model obtained through sample training in advance. The grasping position matching model can match the grasping position of the hidden danger feature that is suitable for grasping the hidden danger feature. Suitable grasping means that the hidden danger feature is not easy to fall off the drone after being grasped by the drone. Generally, the center of gravity of the hidden danger feature is used as the grasping position.

[0170] Step 510: Match a migration route from a preset migration route matching model based on the construction hidden dangers.

[0171] The migration route matching model refers to a neural network model obtained through sample training in advance. The migration route matching model can match a migration route that moves the hidden danger characteristics to a position that does not hinder the construction personnel from carrying out the construction.

[0172] Step 511: Control the preset drone according to the moving route to grab and move the construction hazard according to the grabbing position to remove the construction hazard.

[0173] By using drones to eliminate easily handled hidden danger features according to the relocation route, the number of hidden danger features that construction workers need to eliminate is reduced, thereby improving the efficiency of distribution construction operations.

[0174] Based on the same inventive concept, an embodiment of the present invention provides a power distribution construction operation management system, including:

[0175] An acquisition module is used to acquire alcohol concentration, warning position, warning image, personnel image, personnel blood pressure, personnel position, actual time, construction image, area image and hidden danger image;

[0176] A memory for storing a program of a control method of any one of the methods for managing power distribution construction operations;

[0177] A processor, a program in a memory can be loaded and executed by the processor to implement any control method of a power distribution construction operation management method.

[0178] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0179] An embodiment of the present invention provides a computer-readable storage medium storing a computer program that can be loaded and executed by a processor and a method for managing power distribution construction operations.

[0180] Computer storage media include, for example, various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0181] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a power distribution construction operation management method.

[0182] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0183] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A power distribution construction operation management method, characterized in that: include: Acquiring alcohol concentration based on an alcohol detection device; When the alcohol concentration is higher than a preset warning concentration, obtaining the warning position of the alcohol detection device; Matching a warning area from a preset warning area matching model according to the warning position; Matching a detection route from a preset detection route matching model according to the warning area; Control the preset UAV to obtain warning images according to the exploration route; Judging whether there is a drinking person from a preset drinking person identification model according to the warning image; When there is a person drinking, the person's position is matched from a preset person position recognition model based on the person drinking; The preset warning device is controlled according to the personnel's position to issue a warning that the personnel are drinking.

2. A power distribution construction operation management method according to claim 1, characterized in that: Also included is a method for checking blood pressure of a person, the method comprising: Acquire personnel images of construction personnel; Matching the construction number from a preset construction number matching model according to the personnel image; According to the construction number, a construction height corresponding to the construction number is matched from a preset construction height database; According to the construction height, a blood pressure upper limit value is matched from a preset blood pressure limit matching model, and a blood pressure acquisition device is controlled to acquire the blood pressure of the construction personnel; When a person's blood pressure exceeds the upper limit, the preset warning device is controlled to issue a high blood pressure warning.

3. A power distribution construction operation management method according to claim 2, characterized in that: It also includes an equipment wearing inspection method, the equipment wearing inspection method comprising: Match the construction type from the preset construction type database according to the construction number; Match protective equipment from a preset protective equipment matching model according to the construction type; Based on the personnel image and protective equipment, the preset wearing inspection model is used to determine whether the construction personnel are fully wearing protective equipment; When the construction workers do not wear complete protective equipment, the missing equipment is matched from the preset missing equipment matching model based on the personnel image and protective equipment; An equipment wearing warning is issued based on the warning device preset by the missing equipment control.

4. A power distribution construction operation management method according to claim 1, characterized in that: The equipment wearing inspection method further comprises: Based on the condition that the construction workers are fully wearing protective equipment, the preset wearing status recognition model is used to determine whether the construction workers are wearing protective equipment correctly according to the personnel image; When construction workers do not wear protective equipment correctly, the type of equipment worn incorrectly is identified from a preset incorrect wearing recognition model based on the worker image; According to the equipment type, matching a wearing method corresponding to the equipment type from a preset wearing method database; The preset warning device is controlled according to the equipment type and wearing method to remind construction workers the correct way to wear protective equipment.

5. A power distribution construction operation management method according to claim 1, characterized in that: Also included is a construction progress management method, the construction progress management method comprising: Get the personnel location and actual time of construction personnel; Determine whether the construction personnel have entered the construction area from the preset construction judgment model according to the personnel position; When the construction workers do not enter the construction area, the actual time is defined as the base time; Based on the situation of construction workers entering the construction area, the difference between the actual time and the benchmark time is calculated and defined as the construction time; Match the planned progress from the preset construction plan model according to the construction time, and obtain the construction image of the construction area; Match the actual progress from the preset construction progress matching model according to the construction image; When the actual progress is less than the planned progress, the preset warning device of the control issues a progress delay warning.

6. A power distribution construction operation management method according to claim 1, characterized in that: It also includes a hidden danger elimination method, which includes: Acquire regional images of the construction area; Judging whether there are hidden danger features from a preset construction hidden danger feature recognition model based on the regional image; When hidden danger features exist, an inspection route is matched from a preset hidden danger inspection route matching model based on the hidden danger features; Control the preset drone according to the inspection route to obtain hidden danger images of construction hazards; Judging whether the hidden danger features hinder construction workers from carrying out construction according to the hidden danger image from a preset hidden danger judgment model; When the hidden danger characteristics hinder the construction personnel from carrying out the construction, the hidden danger location is identified from a preset hidden danger location identification model based on the construction hidden danger; According to the hidden danger location, the preset warning device is controlled to issue a hidden danger warning.

7. A power distribution construction operation management method according to claim 6, characterized in that: The hidden danger elimination method also includes: When the hidden danger characteristics hinder the construction personnel from carrying out the construction, it is determined whether the hidden danger needs to be relocated based on the preset relocation judgment model; When construction hazards need to be removed, the weight of the hazard is matched from a preset weight recognition model based on the construction hazards; When the weight of the hidden danger falls into the preset UAV load range, the grabbing position is matched from the preset grabbing position matching model based on the construction hidden danger; Matching a relocation route from a preset relocation route matching model based on construction hazards; According to the relocation route, the preset drone is controlled to grab and move the construction hazards according to the grabbing position to eliminate the construction hazards.

8. A power distribution construction operation management system, characterized in that: include: An acquisition module is used to acquire alcohol concentration, warning position, warning image, personnel image, personnel blood pressure, personnel position, actual time, construction image, area image and hidden danger image; A memory for storing a program of a control method of a power distribution construction work management method according to any one of claims 1 to 7; The program in the memory can be loaded and executed by the processor and implement a control method of a power distribution construction work management method as claimed in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that: A computer program is stored which can be loaded by a processor and executes a method for managing power distribution construction work as claimed in any one of claims 1 to 7.

10. An intelligent terminal, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and executes a power distribution construction operation management method as claimed in any one of claims 1 to 7.

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